A Structural Ricardian Analysis of Climate Change Impacts and Adaptations in African Agriculture
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World Bank, Washington, DC
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This paper develops a Structural
Ricardian model to measure climate change impacts that
explicitly models the choice of farm type in African
agriculture. This two stage model first estimates the type
of farm chosen and then the conditional incomes of each farm
type after removing selection biases. The results indicate
that increases in temperature encourage farmers to adopt
mixed farming and avoid specialized farms such as crop-only
or livestock-only farms. Increases in precipitation
encourage farmers to shift from irrigated to rainfed crops.
As temperatures increase, farm incomes from crop-only farms
or livestock-only farms fall whereas incomes from mixed
farms increase. With precipitation increases, farm incomes
from irrigated farms fall whereas incomes from rainfed farms
increase. Naturally, the Structural Ricardian model
predicts much smaller impacts than a model that holds farm
type fixed. With a hot dry climate scenario, the Structural
Ricardian model predicts that farm income will fall 50
percent but the fixed farm type model predicts farm incomes
will fall 75 percent.
Palabras clave
AGRICULTURAL ECONOMICS, AGRICULTURAL OUTPUT, AGRICULTURAL POLICY, AGRICULTURAL POTENTIAL, ANIMALS, CLIMATE, CLIMATE CHANGE, CLIMATE CHANGES, CLIMATE IMPACTS, CLIMATE MODELS, CLIMATE SYSTEM, CLIMATE VARIABLES, CLIMATIC CHANGE, CROP, CROPS, CULTIVATION, ECOLOGICAL ZONES, ECONOMIC IMPACTS, ELECTRICITY, FAO, FARM, FARM INCOME, FARM INCOMES, FARMER, FARMERS, FARMING, FARMLAND, FARMS, FORESTRY, GLOBAL WARMING, GREENHOUSE GAS, INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE, IPCC, IRRIGATION, LAND VALUE, LIVESTOCK, LIVESTOCK DISEASES, LIVESTOCK MANAGEMENT, LIVESTOCK PRODUCTS, LIVESTOCK SPECIES, MAIZE, MICROECONOMICS, MILK, MILK PRODUCTION, MILLET, MIXED FARMING, NORTH AFRICA, PRECIPITATION, PRIVATE PROPERTY RIGHTS, RAINFALL, RAINFED AGRICULTURE, RAINFED FARMING, SOIL, SOIL TYPE, SOILS, SOUTH AMERICA, SOUTH AMERICAN, SPACING, SPRING, TEMPERATURE, TEMPERATURE DATA, WATER RESOURCES, WORLD FOOD SUPPLY
